Special Issue in Memory of Professor George C. Tiao

Guest Editors

• Daniel Peña (Universidad Carlos III de Madrid)
• Ruey S. Tsay (University of Chicago Booth School of Business)
• Qiwei Yao (London School of Economics and Political Science)

Aims and Scope

This special issue is dedicated to the memory of Professor George C. Tiao (1934–2026), a visionary statistician whose pioneering contributions profoundly shaped the fields of time series analysis, Bayesian inference, and environmental statistics. Professor Tiao was the W. Allen Wallis Professor of Econometrics and Statistics at the University of Chicago Booth School of Business, the founding director of the Statistical Science Center at Peking University, a founding father of the International Chinese Statistical Association (ICSA), and a co-founder of the journal Statistica Sinica. His work on intervention analysis, seasonal adjustment, and Bayesian forecasting has had a lasting impact on both statistical theory and practice, influencing disciplines ranging from economics and finance to environmental science and public policy.

This special issue aims to honor Professor Tiao's legacy by bringing together a collection of high-quality research papers that reflect the breadth and depth of his intellectual contributions. We invite original research articles and review papers that build upon, extend, or are inspired by his work.

The issue will feature three parts:

• Invited feature articles from leading scholars in time series analysis, Bayesian inference, and environmental statistics;
• Invited contributions from Professor Tiao's former colleagues, students, and collaborators; and
• Contributed articles from the broader research community through an open call for papers.

We also welcome submissions that advance the frontiers of statistical methodology and theory, particularly in areas central to Professor Tiao's research agenda. All submissions will undergo the journal's rigorous peer-review process.

Topics of Interest

Topics include, but are not limited to:

Time Series Analysis

• Seasonal adjustment and decomposition
• Intervention analysis and outlier detection
• Forecasting and prediction intervals
• State-space models and dynamic linear models
• Multivariate time series and cointegration

Bayesian Inference

• Bayesian modeling and computation
• Bayesian forecasting and decision making
• Hierarchical and empirical Bayes methods
• MCMC and simulation-based inference
• Bayesian approaches to model uncertainty

Environmental Statistics

• Statistical methods for air quality and ozone data
• Spatial and spatio-temporal modeling
• Environmental monitoring and regulatory applications
• Climate change and extreme event analysis

Statistical Methodology

• Model selection and averaging
• Nonstationary time series
• Robust inference and diagnostics
• Applications of time series and Bayesian methods in economics, finance, and policy

We particularly encourage contributions that demonstrate the continued relevance and evolution of Professor Tiao's ideas in addressing modern statistical challenges.

Submission Information

• Submission deadline: August 31, 2027
• Journal: Statistical Learning and Data Science (SLADS)
• Article types: Research papers, review papers
• Peer review: All submissions will undergo the journal's standard rigorous peer-review process in accordance with journal policies.

Manuscripts should be prepared using the SLADS LaTeX template and submitted through the journal's online submission system at http://slads.scichina.com. When submitting, please select the special issue title "Special Issue in Memory of Professor George C. Tiao" from the dropdown menu.

For inquiries, please contact the Managing Editor:

Ruiyan Zhang

Email: zhangry@scichina.com

We look forward to receiving your contributions and to honoring the remarkable legacy of Professor George C. Tiao through this special issue.